Confluence Technologies

Team collaboration and knowledge management platform

Market Data Business Analyst

Data EngineeringConfirmed live in the last 24 hours

Full-timeMontreal, QC, CanadaNo salary listed

About the Job

Requirements

Strong SQL expertise.
Ability to work effectively with data pipelines, schemas, feeds, application programming interfaces, and data warehouses.
Proven ability to work independently with data and deliver solutions end-to-end.
Experience translating business requirements into clear technical specifications.
Strong communication skills with both technical and non-technical stakeholders.
Ability to operate with high autonomy and manage multiple requests or projects simultaneously.
1–3 years of experience in a market data, data analytics, or financial data environment.

Responsibilities

Translate business and product requirements into clear technical data specifications for engineering teams.
Manage data ingestion and transformation workflows, including external vendor data feeds and internal datasets.
Collaborate with developers to deliver data pipelines, feeds, and transformations.
Monitor and improve data quality, identifying anomalies and resolving issues across datasets.
Own small to mid-sized data projects end-to-end, balancing multiple requests and priorities.
Identify opportunities to automate and optimize processes using Python or similar tools.
Partner with stakeholders across product, engineering, and business intelligence teams to ensure data solutions meet business needs.

Desired Qualifications

Python for automation or process improvement.
Experience with modern data platforms such as Snowflake.
Familiarity with data ingestion, transformation, and vendor data workflows.
Experience with business intelligence tools such as Power BI or Tableau.
Exposure to artificial intelligence tools or an interest in automation.

Montreal, Canada -Hybrid

Why Confluence?

At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence.

This is a high-impact role within a lean team, sitting at the intersection of product, data, and engineering.

Rather than a typical Business Analyst position, this role is hands-on — you’ll work directly with data, shape how it flows through systems, and help deliver real, usable data solutions across the business.

You’ll partner closely with product and engineering teams to turn complex data needs into clear technical requirements, supporting the build of data feeds, pipelines, and transformations.

At the same time, you’ll manage multiple priorities, improve processes, and introduce automation to make data delivery more efficient.

This is a broad, fast-paced role with real ownership — giving you the opportunity to drive solutions end-to-end and influence how data is structured and delivered.

What You’ll Do

Translate business and product requirements into clear technical data specifications for engineering teams
Manage data ingestion and transformation workflows, including external vendor data feeds and internal datasets
Collaborate with developers to deliver data pipelines, feeds, and transformations
Monitor and improve data quality, identifying anomalies and resolving issues across datasets
Own small to mid-sized data projects end-to-end, balancing multiple requests and priorities
Identify opportunities to automate and optimize processes using Python or similar tools
Partner with stakeholders across product, engineering, and BI teams to ensure data solutions meet business needs

Please note: We are unable to sponsor visas or consider candidates requiring work permits at this time.

What You Bring

Essential Requirements

Strong SQL expertise (non-negotiable)
Ability to work effectively with data pipelines, schemas, feeds, APIs, and data warehouses
Proven ability to work independently with data and deliver solutions end-to-end
Experience translating business requirements into clear technical specifications
Strong communication skills with both technical and non-technical stakeholders
Ability to operate with high autonomy and manage multiple requests or projects simultaneously
1–3 years’ experience in a market data, data analytics, or financial data environment

Nice to Have

Python for automation or process improvement
Experience with modern data platforms (e.g., Snowflake)
Familiarity with data ingestion, transformation, and vendor data workflows
Experience with BI tools such as Power BI or Tableau
Exposure to AI tools or an interest in automation

About the Company

Confluence Technologies

Team collaboration and knowledge management platform

Confluence is a team collaboration and knowledge-management platform that helps groups create, organize, and discuss work in a central space. It centers on pages and documents—such as project plans, meeting notes, technical docs, and knowledge bases—that can include text, images, and multimedia. Users edit and structure content with a flexible editor, link pages, and organize them into spaces for easy navigation, commenting, and sharing. The product is delivered as a subscription service with a free tier for small teams and paid plans that scale by user count and features. Confluence differentiates itself by offering tight integration with the broader Atlassian ecosystem (e.g., Jira) and a wiki-like, permission-driven structure that supports enterprise knowledge management and broad collaboration across projects. Its goal is to improve team communication, foster knowledge sharing, and raise productivity by making information easy to create, find, and discuss.

Company size: 501-1,000
Company stage: Late Stage VC
Total funding: $60M
Headquarters: Pittsburgh, PA
Founded: 1991

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